Questions tagged [nonparametric]
Use this tag to ask about the nature of nonparametric or parametric methods, or the difference between the two. Nonparametric methods generally rely on few assumptions about the underlying distributions, whereas parametric methods make assumptions that allow data to be described by a small number of parameters.
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Significant Friedman's Test, but non-significant post-hocs?
I have a sample of 25 in my within-subjects design, with my DV as error rates. The data contains a lot of zeros (i.e. no errors) and is highly negatively skewed, so I can't run the repeated-measure ...
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What options do I have to analyze Non-parametric version of two-factor ANOVA with repetition?
Sorry, my previous question was not very clear I deleted it and am trying again.
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What options do I have for two-factor non-parametric version of ANOVA with repetition? What is the follow-up?...
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Minimum sample size in nonparametric data
My population has more or less 80,000 individuals and I would like to take a small sample with a high probability it is really close to the whole population. The problem is that my data is ...
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Friedman/Wilcoxon test. How to enter data for multiple repetitions?
Id like to run a non parametric test such as the Friedman test on a dependent variable of my 8 subjects who have done a task under four different conditions.
I only found examples of how to input the ...
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How to calculate confidence interval for difference (or ratio) of two different time series?
I have two time series which are sampled at the exact same times. I would like to calculate a confidence interval either for the ratio between the two or the difference between the two. The values ...
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How to analyse individual consistency from three non-normally distributed variables?
I would like to know if individuals were consistent across three different days. I measured the latency of individuals for a maximum of ten minutes. Many individuals had a latency of 0 and some ...
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Is a rank means stat appropriate?
I have attached an image of a subset of data consisting of snow measurements (D1-D6) taken at unique locations (Site1-Site25) over the course of several years. Each measurement was taken at the same ...
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Why beta process is useful ?
Why Beta process is useful/important? How different is that from Dirichlet process?
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Being uniform in log of some parameter?
Alright, I am reading this book called "Bayesian Data Analysis" and it states this idea of being uniform in log of something which I don't have any clue what that might mean??
Example 1: Introduction ...
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Mann Whitney and boostrap confidence intervals provide contradictory results
We are doing some a/b testing and have non-normal metrics so our typical t-test aren't appropriate. I typically use bootstrap CI and/or Mann whitney tests to determine the true effect. In this case ...
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Are Bayesian Networks parametric or non-parametric models?
After searching Wikipedia, I found that there are both parametric Bayesian models and non-parametric Bayesian models. What about Bayesian Networks? When building up a Bayesian Network model, I don't ...
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McNemar or z-test?
I'm doing a matched sample evaluation to see if there is a statistical difference in graduation rates at a college for total sample and sub-groups within the sample after a policy change intended to ...
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Does a Parametric test exist that satisfies the below conditions?
These past few weeks I've been studying statistics more intensely than ever before but I do have some more advanced background in other fields of mathematics such as linear algebra, numerical analysis,...
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